JOURNAL OF TELECOMMUNICATIONS, VOLUME 21, ISSUE 1, JULY 2013 23 Audio Watermarking in Image by Using Radon – Wavelet Transforms Osama Qasim Jumah Al-Thahab and Heba Abdul-Jaleel Alasady Abstract-The rapid growth of digital media and communication network has highlighted the need for Intellectual Property Rights (IRP) protection technology for digital multimedia. Watermarking of multimedia data has become a hotspot for research in recent years. Watermarking can be used to identify the owners, license information, or other information related to the digital object carrying the watermark. Watermarks can provide the mechanism for determining if a particular work has been tampered with or copied illegally. In this paper, a novel algorithm for robust audio watermarking is presented in image using wavelet transform based on image, and radon transform on audio file for the first time. The motivation of choosing image as a cover is driven by the fact that human visual system is less sensitive than human auditory system thus an image provides better masking effect. The algorithm is based on decomposition of images using Haar wavelet basis. Performance of the algorithm has been evaluated extensively, and simulation results are presented to demonstrate the imperceptibility and robustness of the proposed algorithm. KeywordDiscrete wavelet transform, radon transform, audio watermarking, image watermarking . • Osama Qasim Jumah Al-Thahab Lecturer in Engineering College Electrical Departement of Babylon university. • Heba Abdul- Jaleel Alasady Msc student at Babylon University. 1 INTRODUCTION Digital watermarking is a new technology used for copyright protection of digital media. Digital watermarking was introduced at the end of the 20th century to provide means of enforcing copyright protection of digital data. Where, ownership information data called watermark is embedded into the digital media (image, audio, and video) without affecting its perceptual quality. In case of any dispute, the watermark data can be detected or extracted from the media and used as a proof of ownership. Imperceptibility and robustness against attacks are the fundamental issues in digital watermarking techniques[1]. Audio watermarking techniques reported in literature can be grouped into two types; timedomain techniques and frequencytransform domain technique. The two domains have different characteristics, and thus performances of their techniques may vary with respect to the robustness and imperceptibility (inaudibility) requirements of audio watermarking. Inaudibility refers to the condition that the embedded watermark should not produce audible distortion to the sound quality of the original audio, in such a way that the watermarked marked version of the file is indistinguishable from the original one[2]. watermarking gets divided into the following categories nonblind, semiblind and blind methods. In nonblind methods, to extract the watermark the original image itself is being employed, while the semiblind methods engages particular characteristics of the original image, in exception of the other two cases, the detection process in the blind methods do not